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Yeast Metabolic Engineering

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Cover of 'Yeast Metabolic Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview on Selection Marker Genes for Transformation of Saccharomyces cerevisiae
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    Chapter 2 High-Efficiency Plasmid DNA Transformation in Yeast
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    Chapter 3 CasPER: A CRISPR/Cas9-Based Method for Directed Evolution in Genomic Loci in Saccharomyces cerevisiae
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    Chapter 4 Fluorescence-Activated Cell Sorting as a Tool for Recombinant Strain Screening
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    Chapter 5 Generation of Arming Yeasts with Active Proteins and Peptides via Cell Surface Display System: Cell Surface Engineering, Bio-Arming Technology
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    Chapter 6 Strains and Molecular Tools for Recombinant Protein Production in Pichia pastoris
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    Chapter 7 Competent Cell Preparation and Transformation of Pichia pastoris
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    Chapter 8 CRISPR/Cas9 Tool Kit for Efficient and Targeted Insertion/Deletion Mutagenesis of the Komagataella phaffii (Pichia pastoris) Genome
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    Chapter 9 Plasmid-Based Gene Knockout Strategy with Subsequent Marker Recycling in Pichia pastoris
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    Chapter 10 Engineering of Promoters for Gene Expression in Pichia pastoris
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    Chapter 11 Molecular Tools for Leveraging the Potential of the Acid-Tolerant Yeast Zygosaccharomyces bailii as Cell Factory
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    Chapter 12 Golden Gate Multigene Assembly Method for Yarrowia lipolytica
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    Chapter 13 A Universal Gene Expression System for Novel Yeast Species
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    Chapter 14 Dynamic Feeding for Pichia pastoris
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    Chapter 15 Automated Evolutionary Engineering of Yeasts
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    Chapter 16 Reconstruction of Genome-Scale Metabolic Model for Hansenula polymorpha Using RAVEN
Attention for Chapter 10: Engineering of Promoters for Gene Expression in Pichia pastoris
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Chapter title
Engineering of Promoters for Gene Expression in Pichia pastoris
Chapter number 10
Book title
Yeast Metabolic Engineering
Published by
Humana, New York, NY, July 2022
DOI 10.1007/978-1-0716-2399-2_10
Pubmed ID
Book ISBNs
978-1-07-162398-5, 978-1-07-162399-2
Authors

Vogl, Thomas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Postgraduate 3 19%
Student > Bachelor 2 13%
Professor 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Biochemistry, Genetics and Molecular Biology 4 25%
Unknown 7 44%